GCRI · Agency

Project closeout

Closeout is where a programme proves what it did, settles what it owes and hands over what it built. It is often the least resourced phase: staff leave, records scatter and deadlines compress. Unfinished closeout surfaces later as audit qualifications, refund claims, orphaned assets and lost evidence. This page sets out how closeout risk develops, what a complete closeout contains, and what the institutions that review, receive and learn from the work need.

02The question

Project closeout: how the risk develops.

Review, evidence, learning and lawful handoff. The dossier below sets out how the risk develops, what is measured, where the data come from, how it is modelled and who decides.

Mechanism

Closeout is compressed

Final deliverables, financial reconciliation, evaluation and handover fall in the same weeks as staff leave for new assignments. Tasks that need care, such as records transfer and grievance resolution, are the first to slip.

Mechanism

Evidence decays

Results data, decisions and supporting documents sit in personal drives and email. Once the team disperses, claims in a completion report cannot be traced to their evidence, and evaluators rely on recollection.

Mechanism

Handover without ownership

Systems, equipment and data are transferred to an institution that has no budget, staff or legal acceptance for them. They fall out of use or out of compliance, and the investment is lost.

Mechanism

Open obligations cascade

Unreconciled accounts, unspent advances, open grievances and personal data held beyond its purpose lead to audit qualifications, ineligible expenditure, refunds and complaints. These can delay or block the next financing for the same institution.

03Geography

People and hazards in East Africa.

Population density, night lights and flood water over East Africa, from NASA GIBS. Each layer carries its own date.

The interactive map needs JavaScript; the layer list and sources are below.

Layers 3

People and hazards, for this page

About this layer
Evidence
Estimated
Source
Gridded Population of the World v4.11 (NASA SEDAC (CIESIN, Columbia University))
Provider
NASA SEDAC (CIESIN, Columbia University)
Licence
CC BY 4.0
Vintage
null; Census-based estimate, static (2020)
Resolution
about 1 km grid
Uncertainty
Census-based estimate of people per square kilometre in 2020, shown as exposure context; not a count of people affected by any hazard.
Reached through
gibs.earthdata.nasa.gov, only after you allow the live map
About this layer
Evidence
Observed
Source
VIIRS Black Marble (VNP46A2) (NASA LAADS DAAC)
Provider
NASA LAADS DAAC
Licence
NASA open data
Vintage
daily; Satellite radiance, corrected for moonlight and atmosphere
Newest at build
2026-10-12
Resolution
about 500 m grid
Uncertainty
Satellite night-time radiance for the date shown; lights are a proxy for electricity use and outages, not a measurement of supply or access.
Reached through
gibs.earthdata.nasa.gov, only after you allow the live map
About this layer
Evidence
Observed (clouds leave gaps)
Source
VIIRS Global Flood Product (NASA LANCE)
Provider
NASA LANCE
Licence
NASA open data
Vintage
daily; Satellite detection; clouds leave gaps
Newest at build
2026-10-14
Resolution
about 250 m grid
Uncertainty
Satellite detection; clouds leave gaps. Satellite or model raster as the provider publishes it. Clouds, swath gaps and retrieval error leave gaps and noise; values are indicators, not measurements at a place.
Reached through
gibs.earthdata.nasa.gov, only after you allow the live map
About this layer
Evidence
Observed
Source
VIIRS NOAA-20 corrected reflectance (NASA LANCE)
Provider
NASA LANCE
Licence
NASA open data
Vintage
daily; Satellite image
Newest at build
2026-10-14
Resolution
about 250 m grid
Uncertainty
Satellite image. Satellite or model raster as the provider publishes it. Clouds, swath gaps and retrieval error leave gaps and noise; values are indicators, not measurements at a place.
Reached through
gibs.earthdata.nasa.gov, only after you allow the live map
About this layer
Evidence
Modelled (latest year GIBS publishes)
Source
MODIS Terra and Aqua land cover (MCD12Q1) (NASA LP DAAC)
Provider
NASA LP DAAC
Licence
NASA open data
Vintage
yearly; Satellite classification; latest year GIBS publishes
Newest at build
2024-01-01
Resolution
about 500 m grid
Uncertainty
Satellite land cover classes for the year shown, including croplands; a classification with known errors, not a farm register.
Reached through
gibs.earthdata.nasa.gov, only after you allow the live map
About this layer
Evidence
Observed (clouds leave gaps)
Source
MODIS Terra EVI (NASA LANCE)
Provider
NASA LANCE
Licence
NASA open data
Vintage
daily; Satellite index; clouds leave gaps
Newest at build
2026-10-13
Resolution
about 250 m grid
Uncertainty
Satellite vegetation index for the 8 days to the date shown, a habitat condition indicator; not a measure of species or biodiversity.
Reached through
gibs.earthdata.nasa.gov, only after you allow the live map

Latest available

NASA GIBS / EOSDIS · ASTER GDEM (METI, NASA) · Blue Marble (NASA) · © OpenStreetMap contributors (ODbL) · Natural Earth

Loading the latest NASA imagery.

Drag to move. Ctrl or ⌘ and scroll, pinch or the buttons to zoom; hover for the values under the pointer; reset returns to the region.

People and hazards, framed on East Africa.Satellite and model products as NASA publishes them, each with its own date. They are indicators, not assessments of any place.

Data: NASA GIBS · ASTER GDEM · Blue Marble · © OpenStreetMap contributors · Natural Earth · NASA EONET · NASA JPL OPERA DIST-ALERTSources and licences

  • We acknowledge the use of imagery provided by services from NASA’s Global Imagery Browse Services (GIBS), part of NASA’s Earth Science Data and Information System (ESDIS). Colours redrawn from the published colour map; values averaged into hexagonal cells where shown (modified). NASA open data
  • We acknowledge the use of imagery provided by services from NASA’s Global Imagery Browse Services (GIBS), part of NASA’s Earth Science Data and Information System (ESDIS). Colours redrawn from the published colour map; values averaged into hexagonal cells where shown (modified). NASA open data
  • Center for International Earth Science Information Network (CIESIN), Columbia University. 2018. Gridded Population of the World, Version 4 (GPWv4): Population Density, Revision 11. NASA Socioeconomic Data and Applications Center (SEDAC). Licensed under CC BY 4.0. Colours redrawn from the published colour map; values averaged into hexagonal cells where shown (modified). doi:10.7927/H49C6VHW. CC BY 4.0
  • VIIRS Black Marble night-time lights, NASA Goddard Space Flight Center; distributed by the NASA Level-1 and Atmosphere Archive and Distribution System (LAADS DAAC); imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into hexagonal cells where shown (modified). NASA open data
  • VIIRS near-real-time products (flood, land surface temperature, snow cover, corrected reflectance), NASA LANCE; imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into hexagonal cells where shown (modified). NASA open data
  • MODIS land products (vegetation indices, gross primary production, land cover), NASA LP DAAC and LANCE; imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into hexagonal cells where shown (modified). NASA open data
  • ASTER GDEM is a product of METI and NASA (ASTER Global Digital Elevation Model V003, NASA LP DAAC); imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into hexagonal cells where shown (modified). Cite as: NASA/METI/AIST/Japan Spacesystems and U.S./Japan ASTER Science Team (2019). ASTER Global Digital Elevation Model V003. doi:10.5067/ASTER/ASTGTM.003. NASA open data
  • Made with Natural Earth. Free vector and raster map data @ naturalearthdata.com. Public domain
  • © OpenStreetMap contributors (ODbL), via NASA GIBS (coastlines, boundaries, roads and place names). Colours redrawn from the published colour map; values averaged into hexagonal cells where shown (modified). ODbL
  • Blue Marble, NASA Earth Observatory; imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into hexagonal cells where shown (modified). NASA open data
  • Context on the globe and flat map: coastlines, boundaries, roads and place names from NASA GIBS reference layers (OpenStreetMap data, ODbL, © OpenStreetMap contributors); Blue Marble imagery as an optional base; 3D terrain and the elevation read-out from the ASTER GDEM elevation colour index (5 m to 200 m classes, exaggerated for legibility). Boundaries are drawn as published and imply no position on any territory.
  • Live events: NASA Earth Observatory Natural Event Tracker (EONET); events are indicative and keep their original source links.
  • Live: NASA EONET Events are indicative, not authority warnings.
  • Observed (EO): NASA JPL OPERA DIST-ALERT (contains modified Copernicus Sentinel data 2026). We acknowledge the use of imagery provided by services from NASA’s Global Imagery Browse Services (GIBS), part of NASA’s Earth Science Data and Information System (ESDIS).
  • NASA GIBS: We acknowledge the use of imagery provided by services from NASA’s Global Imagery Browse Services (GIBS), part of NASA’s Earth Science Data and Information System (ESDIS).
  • Optional layers (5 sources in the layer list: live, forecast, observed and context) print their provider credit on the map and here when switched on; forecasts are model output and derived indices are estimates.

Layers and dates

  • Population density, 2020: Population: CIESIN, Columbia University, Gridded Population of the World v4.11 (2018), NASA SEDAC, CC BY 4.0 · static
  • Night-time lights, daily: VIIRS Black Marble (VNP46A2), NASA LAADS DAAC · 12 Oct 2026
  • Flood water, 3-day composite: VIIRS Global Flood Product, NASA LANCE · 14 Oct 2026
  • True colour: VIIRS NOAA-20 corrected reflectance, NASA LANCE · 13 Oct 2026
  • Land cover type (IGBP), yearly: MODIS Terra and Aqua land cover (MCD12Q1), NASA LP DAAC · 2024
  • Enhanced vegetation index, rolling 8 days: MODIS Terra EVI, NASA LANCE · 13 Oct 2026

04In the five domains

Closeout records what each domain’s project delivered.

05Monitor

Assignment and team board.

The screen a team would use to follow this subject: its measures, states and decisions. Names are examples and values are illustrative.

Assignment and team board

Project closeout · Assignment pool · Quarter 1

One team awaiting independence reviewGCRI · Agency

Assignments

Request02
Flood recovery planning supportCountry team A
Data system reviewInstitution B
Scoping01
Heat-health plan review5 experts proposed
Independence check01
Water utility auditDeclaration pending
In field01
Early warning assessmentWeek 3 of 10
Close-out01
Agriculture data auditReview signed

Team record

Team leadDisaster risk managementNone declaredConfirmed
HydrologistFlood modellingDeclared, managedConfirmed
Data engineerPipelinesNone declaredInvited
ReviewerIndependentNone declaredConfirmed

Scope

Requester
Requesting institution
Duration
10 weeks
Authority
stays with the requester
Fee
no fee stated
Assignment and team board: the screen’s structure, terms and states for Project closeout.Example names and illustrative values; a design, not a record or a live system.
06Indicators

What is measured, and how well.

Each indicator carries its unit, its cadence, the kind of source behind it and the evidence label a value would carry. No values are shown: a programme supplies them under its own authority.

IndicatorUnitCadenceSource typeLabel
Completion reports submitted within the required periodpercent of operationsannualFunding agency recordsPublished statistics
Final audit opinioncategory: unmodified, qualified, adverse, disclaimerper operationExternal audit reportsPublished statistics
Ineligible expenditure identified at closurecurrency amountper operationAudit and funder reviewPublished statistics
Assets transferred with signed acceptance by the receiving institutionpercent of assetsper operationHandover recordsREPORTED
Grievances open at closing datecountper operationGrievance mechanism recordsREPORTED
Records transferred or disposed of under a retention schedulepercent of record seriesper operationRecords management logsREPORTED
Evaluation ratings against DAC criteriaordinal rating by criterionper evaluationIndependent evaluationsESTIMATED
Completion report ratings confirmed by independent validationpercent of validated reportsannualEvaluation office validationsPublished statistics
07Twin and cascade simulator

Model project closeout as a system. Run the cascade.

Assembled from the Nexus Standards area profile Disaster risk reduction: the hazards it names, the systems and sectors that carry the loss, the controls that dampen it and the data that observe it. Choose the components, pick an initiating hazard and step through the cascade. The Map view places the run on an example geography with open data. Every coupling weight is a stated assumption you can change. A teaching model, not a forecast, an assessment or a certification. To model a place of your own choosing, open the full System Builder.

Hazards

  • Tropical cyclone
  • Flash flood
  • Heatwave
  • Ice-jam flood
  • HIV epidemic
  • Earthquake
  • Storm surge (set off downstream)
  • Intense rainfall (set off downstream)
  • River flood (set off downstream)
  • Dangerous surf (set off downstream)
  • Widespread power outage (set off downstream)
  • Mass displacement (set off downstream)
  • Coastal flood (set off downstream)
  • Extreme fire weather (set off downstream)
  • Wildfire (set off downstream)
  • Heat-driven grid stress (set off downstream)
  • Agricultural drought (set off downstream)
  • Flash drought (set off downstream)

Controls

  • NS-0 Constitution and principles
  • NS-1 The UNI and the artefact catalogue (grammar v0.2: domain, sector, region and environment segments)
  • NS-3 Risk record UNIs (grammar, legacy crosswalk, allocation authority)
  • NS-3b Dataset and product metadata profile (STAC, DCAT, PROV-O)
  • NS-9 Contextual UNIs (deployments, instances, programme instances)
  • NS-11 Verification and monitoring (evidence, attestations, zero-trust conformance observation)
  • NS-14 Conformance and crosswalk to external standards
  • NRS-C15 Loss, damage and impact accounting
  • NRS-H114 Hazard family: Macroeconomic and fiscal shocks (NHS-1 soc.macro-fiscal)
  • NRS-K20 Domain pack profile: Climate adaptation (DOMAIN-020)
  • NRS-H54 Hazard family: Signal and platform disruption (NHS-1 cyber.platform)
  • NRS-H65 Hazard family: Planetary boundary transgressions (NHS-1 planet.boundary)
  • NRS-H119 Hazard family: Cultural heritage loss (NHS-1 soc.heritage)

Observation

  • DesInventar disaster loss databases (listed for reference)
  • INFORM Risk Index (listed for reference)
  • Global SDG Indicators Database (listed for reference)
  • EM-DAT international disaster database (listed for reference)
  • Number of deaths and missing persons attributed to disasters per 100,000 population
  • Number of directly affected people attributed to disasters per 100,000 population
  • Direct economic loss attributed to disasters in relation to global GDP
  • Damage to critical infrastructure attributed to disasters
  • Number of countries that adopt and implement national DRR strategies
  • Total public international support for national disaster risk reduction actions (Sendai indicator F-1)
  • Number of countries that have multi-hazard early warning systems
  • Number of deaths, missing persons and directly affected persons attributed to disasters per 100,000 population

Example geography

  • Bangladesh: 134 hexagonal cells
  • Rain rate, last half hour (IMERG), NASA GIBS
  • Surface water through cloud, 30 m (OPERA DSWx-S1 radar), NASA GIBS
  • Surface air temperature, daytime (AIRS), NASA GIBS
  • Night lights tonight, outages (VIIRS Day/Night Band), NASA GIBS
08Sources

Where the evidence comes from.

Named public datasets and institutional records, each with its licence class. Sources by agreement are used only under their terms and never republished.

SourceWhat it givesLicence class
World Bank Implementation Completion and Results Reports and IEG reviewsSelf-assessed results and independent validation of closed operationsPublic documents under the World Bank access to information policy
Asian Development Bank completion reports and validationsProject completion reports and validation by the independent evaluation functionPublic documents under ADB access to information policy
OECD DAC Evaluation Resource CentreFinal and ex post evaluations from member agenciesPublic reports, terms per evaluating agency
IATI DatastoreActivity status, end dates, final budgets, results and documents of closed activitiesOpen, licence declared per publisher
UN Board of Auditors reportsAudit findings on UN entities, including closure of projects and assetsPublic documents
National supreme audit institution reportsAudits of closed programmes and of financial statements of implementing agenciesPublic records, terms per audit office
09Methods and evidence

How project closeout is modelled, measured and tested.

The model, its assumptions, its data and its uncertainty, in the form a scientist or engineer would check. Structures follow published methods. The values drawn are illustrative, not findings.

Datasets and provenance

The data classes behind project closeout and what is recorded about each before it is used.

Data classProvenance recordedResolution statedLicence checked
Satellite imagery, optical and radarsensor, processing level, acquisition datepixel size and revisitper scene
Reanalysis and climate model outputmodel, experiment, member, versiongrid and time stepper release
In-situ sensors and gaugesstation, instrument, calibration recordpoint and sampling rateper network
Population and asset exposuremethod, vintage, input sourcescell size and unitper release
Boundaries and reference geographyproducer, edition, datescaleper edition
Lineage
W3C PROV record from source to figure
Principles
FAIR: findable, accessible, interoperable, reusable
Gaps
shown as missing, never filled silently
Data classes and the provenance fields recorded for each; a dataset is listed by name only once its licence admits the use.
FAIR guiding principles · GO FAIR and FORCE11W3C PROV · World Wide Web ConsortiumGuidance on consistent treatment of uncertainties · IPCCCEOS Analysis Ready Data · Committee on Earth Observation Satellites
10Decisions

Who decides, and what the evidence serves.

Agency prepares evidence. The decisions below are taken by the authorities named, under their own rules, and never by the platform.

Who decidesThe questionEvidence this page serves
Implementing agencyWhether every obligation is settled before the closing date, and what remains openCloseout checklist with open items and their holders
Funding agencyWhether expenditure is eligible, refunds are due and the completion report can be acceptedAudit opinion, reconciliation and evidence register
Receiving institutionWhether to accept assets, systems and data, and on what termsHandover protocol, condition records and recurrent cost notes
Supreme audit institution or evaluation officeWhether reported results are supported by evidenceEvidence register and records retained under the retention schedule

Outputs this topic produces

  • Closeout checklists covering deliverables, finance, assets, grievances, data and records
  • Evidence registers that link each reported result to its source
  • Handover protocols with receiving-institution acceptance and recurrent cost notes
  • Lessons records written for retrieval by later assignments
11Core questions

What closeout must settle.

  • Were the deliverables accepted against the criteria agreed at the start?
  • Where are the outputs, data and documentation, and who maintains them now?
  • Which personal or confidential data must be returned, retained or deleted, and under what rules?
  • What went well, what did not and what should change next time?
12Mechanisms

How value leaks at the end.

Projects often end in a rush: final reports are delivered without review, models are left without documentation, data sit on personal devices and the host has no one trained to maintain what was built. Lessons are lost because no one is asked to write them down.

A deliberate closeout prevents this by treating handover as a deliverable in its own right, with time and responsibility assigned to it.

13Good practice

Signals of a good closeout.

  • Time and a named owner for handover in the original plan.
  • Documentation sufficient for someone new to run or rebuild the outputs.
  • A data inventory showing what was returned, retained or deleted, and why.
  • Lessons written down with an owner for each action.
14Methods

How it is studied, and what the methods cannot say.

  1. Systems engineeringTracing terms of reference to deliverables · Managing interfaces in multidisciplinary teamsApplied here
  2. Decision analysis under uncertaintyMulti-criteria assessment of expert fit · Value of information before deploymentApplied here
15Where this page’s references

Where this page’s references lead.

The bodies and documents this page is read against. Status and editions change; each link goes to the issuing body.

16Questions

Questions and answers.

What is a lawful handover?
A transfer of assets, systems, data or functions to an institution with the legal authority and capacity to receive them, documented by signed acceptance, and consistent with the financing agreement, procurement rules and data protection law.
Why plan closeout at the start?
Because records, retention, handover terms and recurrent costs are cheap to arrange at design and expensive or impossible to reconstruct at the end.
What do the DAC criteria cover?
Relevance, coherence, effectiveness, efficiency, impact and sustainability. Evaluators apply them with judgement and evidence, and the OECD DAC guidance stresses using them thoughtfully rather than mechanically.
What happens to personal data at closeout?
It is transferred, retained or deleted according to the purpose for which it was collected, the retention schedule and the data protection law that applies. Keeping it without a lawful basis is itself a breach.
What if the host does not accept a deliverable?
The disagreement is recorded with reasons, and the terms set out what happens next, such as revision or partial acceptance.
Are closed assignments removed from the site?
No. They are marked closed, so the record of what was done remains.
What happens to personal data collected during the work?
It is returned, retained or deleted according to the written terms and applicable law, and the outcome is documented in the closeout record.
Can I get a record of my contribution?
Yes. A contribution record is kept, and you can ask for it or for a correction at the expert application form.
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